Radical Open Innovation News week 49-2019

Welcome to our biweekly selection of digital innovation news. Created using our opinionated automated selection algorithm with a twisted text rank summary creator. We present some top innovation news items to get you thinking, debating and take action in order to make our world even better.

1 How Machine Learning Will Generate up to $2 Trillion in Value for the Manufacturing Industry

Today manufacturers must create high-quality products as efficiently and consistently as possible to remain competitive. With the increasing price of raw materials, skilled labor shortages, and rising competition, this can be difficult. Fortunately, machine learning and IoT technology are making efficiency and productivity gains a reality.


2 Imagining the future from an alternative perspective

Microsoft is full of people who do just that, and the result of their alternative perspectives are groundbreaking ideas that will help shape the future. YouTube Video Think about the ambitious ideas, once considered unattainable, that are now part of our lives. We believe innovation should be meaningful – developed for lasting impact. We need to rethink compute, storage and networking to fulfill the future needs and do it in a sustainable way. Visit ALT: The future from an alternative perspective to experience the stories, consider what’s important to you and set off on your innovation journey today.


3 An Epidemic of AI Misinformation

Hundreds of deep learning for radiology companies have been spawned in the meantime, but thus far no actual radiologists have been replaced, and the best guess is that deep learning can augment radiologists, but not, in the near-term replace them. If driverless cars and conversational bots appear only a year or two late, no problem, but the more deadlines slip, on driverless cars, medical diagnosis and conversational AI, the greater the risk of new AI winter becomes. Recommendations To recap thus far, misinformation about AI is common. Maybe every paper abstract should have a mandatory field of what the limitations of the proposed approach are. In fact, for decades, since AI’s inception many (though certainly not all) of the leading figures in AI have fanned the flames of hype. Unfortunately, the problem of overhyped AI extends beyond the media itself.

(The Gradient)

4 Making It Easier to Manage and Scale Digital Projects

In this article, we describe how Johnson & Johnson does this and the benefits and challenges the approach brings. Over the past few years, Johnson & Johnson, one of the organizations we studied, has employed this approach. Pitching to potential backers for additional resources. Because consumers expect technology solutions to become better and better, digital projects must continuously evolve. Individual groups found it so effective that the company’s technology organization created a centralized team that provides dedicated counsel and support related to digital projects. Requiring teams to pitch a project’s value can help companies manage their digital project portfolios more effectively.

(MIT Sloan Management Review)

5 Why bogs may be key to fighting climate change

There are, arguably, only two interesting facts about bogs. The first is that some people have a jolly good time swimming through them, notably at the World Bog Snorkelling Championships held each year in central Wales, UK. The second is that they could help save the world.

(EU Reseach & Innovation)

6 Using computers to view the unseen

This means that, with a video camera turned on in a room, they can reconstruct a video of an unseen corner of the room, even if it falls outside the camera’s field of view. In our problem, we face a similar situation at every pixel,” says Aittala. “Almost any hidden video can be explained by a corresponding scramble, and vice versa. Giving computers vision has helped us fight wildfires in California, understand complex and treacherous roads — and even see around corners. Specifically, the goal was to recover a human- readable video of the activity in the hidden scene, which is a multiplication of the light transport and the hidden video. To figure out the scrambling pattern, a user would need to know the hidden video already, and vice versa. “Mathematically, it’s like if I told you that I’m thinking of two secret numbers, and their product is 80.

(MIT Reseach CS)

The Radical Open Innovation weekly overview is a brief overview of innovation news on Digital Innovation and Management Innovation from all over the world. Your input for our next edition is welcome! Send it to [info] at [bm-support]dot[org]